|
|
Absolute deviation, 绝对离差
5 _6 ~4 {% t( G' ^Absolute number, 绝对数
( K* r) v6 @( o" FAbsolute residuals, 绝对残差3 Z# x: k! O6 Z' p& c
Acceleration array, 加速度立体阵
4 `0 ~/ z$ F! yAcceleration in an arbitrary direction, 任意方向上的加速度
; F0 n, ~, q" z kAcceleration normal, 法向加速度+ c$ n$ }$ `+ ^, c
Acceleration space dimension, 加速度空间的维数% r' u# e' T4 P' C' f
Acceleration tangential, 切向加速度% v& O8 G& k2 O( ^. P: p8 c
Acceleration vector, 加速度向量
) u: n+ G3 T( E" t' hAcceptable hypothesis, 可接受假设0 Q& y6 P; ~% M- O; n2 A# ]6 E
Accumulation, 累积7 k4 h( ~* K8 M% O: H
Accuracy, 准确度1 g5 P% P* o: R) E9 h
Actual frequency, 实际频数3 P u2 F3 G9 b m& x
Adaptive estimator, 自适应估计量
4 u4 x) J9 V* e# eAddition, 相加
9 r) Z; ]4 L/ M1 r1 T6 H- FAddition theorem, 加法定理
6 o2 S& C4 \, ?* d, ZAdditivity, 可加性
/ T* ~' F' m5 A" AAdjusted rate, 调整率$ v# x+ Y0 \) w% B3 g" p$ @# ^4 o
Adjusted value, 校正值
6 R. c& C N) }6 ~) n( y! YAdmissible error, 容许误差% u/ }6 P. L' C! X# ~/ F* k8 _% M
Aggregation, 聚集性
% `+ V" j D) g# F* B$ V: v: f" QAlternative hypothesis, 备择假设" j% i5 ~% V ]
Among groups, 组间4 V9 V( l; g* h9 u
Amounts, 总量7 j. a& B. K& `) C+ n
Analysis of correlation, 相关分析
" j; f3 s* \) m5 G* v7 dAnalysis of covariance, 协方差分析* v) ?5 c* u& o( v; a8 l( @, G
Analysis of regression, 回归分析( d8 S0 J) a; V- R9 f
Analysis of time series, 时间序列分析
# i9 {2 ?: ] ^0 d( iAnalysis of variance, 方差分析8 \3 i; z5 P: B3 ~" @
Angular transformation, 角转换3 m4 q7 U# I9 ^2 U$ B$ ]$ e
ANOVA （analysis of variance）, 方差分析, x) h/ C) s" x; f0 B: @8 p# b) u# I! X
ANOVA Models, 方差分析模型
5 X, r8 w, w! L ~( n8 oArcing, 弧/弧旋$ G- c- {+ E ~- K! s% V [
Arcsine transformation, 反正弦变换& [0 [$ b( _5 W2 J
Area under the curve, 曲线面积
4 k! Y5 I5 f# j! ]AREG , 评估从一个时间点到下一个时间点回归相关时的误差
5 u" n4 J% f BARIMA, 季节和非季节性单变量模型的极大似然估计 3 u0 ]$ l9 \! b( e* G
Arithmetic grid paper, 算术格纸) }) D$ u, w, z& i0 F3 [
Arithmetic mean, 算术平均数
9 j' o2 D3 _ a+ Y# k x! c# RArrhenius relation, 艾恩尼斯关系
0 J9 p' f' P0 q- t* _" x* j6 PAssessing fit, 拟合的评估 Q. C# m1 R$ h2 J
Associative laws, 结合律9 I( [ q+ K' K: d* ^
Asymmetric distribution, 非对称分布
, K$ j, g5 h2 a0 H( PAsymptotic bias, 渐近偏倚
+ u% l* M2 b6 Q. g& W: j& yAsymptotic efficiency, 渐近效率- _0 K+ X' O7 T! A
Asymptotic variance, 渐近方差
( O8 D- a% V+ ]/ @- c; a5 ZAttributable risk, 归因危险度
; E$ R# D' ~0 I; e) Y1 EAttribute data, 属性资料1 Y9 K6 q# _% P& S0 r3 H
Attribution, 属性
" `6 x8 m3 [: U* h0 u2 h+ d* E* aAutocorrelation, 自相关6 m- }& }. V+ i
Autocorrelation of residuals, 残差的自相关 |0 E* U$ S5 O
Average, 平均数
9 y7 B1 H" u) M# J" L% }7 D- |8 ~Average confidence interval length, 平均置信区间长度/ y; L" \2 R; y
Average growth rate, 平均增长率
9 e0 ], b) p5 Y; h& l/ S2 V" i) J) mBar chart, 条形图
- c. x/ Y5 z Z$ _# u9 S U$ h* }Bar graph, 条形图
$ Y- w0 } f3 C8 c5 _ v tBase period, 基期+ }6 G" t1 R! L0 N0 s
Bayes' theorem , Bayes定理0 y p' ]1 u0 y+ O9 ?" C
Bell-shaped curve, 钟形曲线% ~/ G& `, X C" n
Bernoulli distribution, 伯努力分布6 N7 g" L* x& Z$ U1 U
Best-trim estimator, 最好切尾估计量
! C1 Q& ~ B! H+ F0 a# NBias, 偏性( s% c$ O$ _% ~ p0 I* W4 {
Binary logistic regression, 二元逻辑斯蒂回归# c; A8 k# ^ Y) d& P: @6 K6 X; B
Binomial distribution, 二项分布$ Y s+ M: L3 w4 J& M5 U0 k$ R" ]4 l
Bisquare, 双平方5 p& p' }! k4 Y
Bivariate Correlate, 二变量相关) N" P- H k. E
Bivariate normal distribution, 双变量正态分布
* _2 e0 O3 }; w- MBivariate normal population, 双变量正态总体% Z6 y5 T- W0 D h3 M* G2 Y
Biweight interval, 双权区间7 g* G X# s& _6 q" S
Biweight M-estimator, 双权M估计量 a. _, X2 R" D& T6 t
Block, 区组/配伍组3 q, N9 s) p/ f% f! p( R' \
BMDP(Biomedical computer programs), BMDP统计软件包, J- |* T/ X5 b: p5 E
Boxplots, 箱线图/箱尾图
' d) O, l' e/ _" k5 EBreakdown bound, 崩溃界/崩溃点' ^; L A; ]1 t! w; z ^
Canonical correlation, 典型相关' l2 c( ^7 c S- k7 p E6 `+ v/ ^
Caption, 纵标目
0 Q. W q6 c; Y! E, a PCase-control study, 病例对照研究
+ W5 \7 F) U* ]0 C* B! ]3 eCategorical variable, 分类变量# H! j0 O& b$ t* A. E
Catenary, 悬链线$ c0 h! [! @( k. o
Cauchy distribution, 柯西分布0 V1 e% [6 S6 m T0 k% ~
Cause-and-effect relationship, 因果关系
F: j: F+ _! fCell, 单元
$ H; ? o ~6 G3 P7 KCensoring, 终检) y4 R5 M7 w2 ^0 i
Center of symmetry, 对称中心
0 F( J* k; O8 j" P0 O! KCentering and scaling, 中心化和定标
q$ L; U7 ?/ Q( E2 DCentral tendency, 集中趋势
" Y$ F$ p% P5 _$ eCentral value, 中心值
# r: M; B; L9 w4 DCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
# U+ U- I' E* R6 u" NChance, 机遇
! V6 x# O! }6 V F, ^, R% @Chance error, 随机误差
3 W9 V/ Z# }! q- V/ C+ yChance variable, 随机变量" S, Y1 Z3 R) m' J
Characteristic equation, 特征方程1 Q: m) p! Y; i* a0 M; F' F1 m9 B
Characteristic root, 特征根
( `5 S5 u, X% C, g8 R7 aCharacteristic vector, 特征向量
2 `7 S1 d* U7 s _6 v4 S( TChebshev criterion of fit, 拟合的切比雪夫准则9 G2 p6 C+ q$ n% P$ E
Chernoff faces, 切尔诺夫脸谱图, U$ {5 _9 l/ F2 p/ A
Chi-square test, 卡方检验/χ2检验$ C8 H+ g, P' z/ b H
Choleskey decomposition, 乔洛斯基分解3 u. T- g Y4 _* N/ h6 C. x! a- j
Circle chart, 圆图
, D" a; a- r4 X; uClass interval, 组距
4 t/ i5 u/ T9 F. [Class mid-value, 组中值, Y0 ], o6 G/ N$ w7 j
Class upper limit, 组上限
/ Q8 {: m+ g ?- jClassified variable, 分类变量" P+ s$ L# u4 v. ?
Cluster analysis, 聚类分析) R8 [3 l- K7 H, |
Cluster sampling, 整群抽样
) _" R: e( C8 h% K" r. MCode, 代码
, f- O/ \: A1 w# S: ?Coded data, 编码数据
9 x( `$ P4 U; e) |- j K; B% }& C: PCoding, 编码
6 o4 U6 q8 w4 d( Q4 v. kCoefficient of contingency, 列联系数
" J% X9 M4 U. zCoefficient of determination, 决定系数7 f4 N0 R. m8 Y% B6 M# @
Coefficient of multiple correlation, 多重相关系数
4 @" m9 d3 h3 t" E. [1 r, z! D ]: FCoefficient of partial correlation, 偏相关系数
2 F* ?! k3 i; R& VCoefficient of production-moment correlation, 积差相关系数
) n' s8 m4 t# @# z2 g) R8 zCoefficient of rank correlation, 等级相关系数
t, F6 P$ Q! n6 T) C) b6 uCoefficient of regression, 回归系数
3 U* Z, O) C v: KCoefficient of skewness, 偏度系数: b8 }0 O- k7 ~# m _5 C' P9 ~
Coefficient of variation, 变异系数
* i$ b2 Z e5 T- V7 t- ^Cohort study, 队列研究
, ]# u$ b6 C0 c7 s3 t2 GColumn, 列
v# o* k, i; T6 YColumn effect, 列效应
4 C7 K+ k' w) \- H9 o1 YColumn factor, 列因素; j2 H: A3 ]# n( j/ s+ i P
Combination pool, 合并
6 Q: p* @$ M& j( ?, j6 OCombinative table, 组合表
7 s+ a0 U: `# r3 N5 n" P: ZCommon factor, 共性因子: j( D: e9 q, _4 h2 L$ Q8 g2 j
Common regression coefficient, 公共回归系数/ g! P: K2 s- O; x( d) l
Common value, 共同值
% g( Z5 U9 c9 U4 l/ @Common variance, 公共方差% R" ^0 c2 w6 ^6 E& X* Q H
Common variation, 公共变异
$ [9 J2 s" r1 \Communality variance, 共性方差$ h+ D: c; Q( k$ X; f
Comparability, 可比性
$ n$ [* _2 U1 f; BComparison of bathes, 批比较
, \; ^3 g" P0 j! rComparison value, 比较值/ a/ r) ^1 ^5 p& |$ \
Compartment model, 分部模型+ D0 P) S h. a' [$ t
Compassion, 伸缩+ P s: R% l5 m- e$ h; Z
Complement of an event, 补事件
7 i4 ^" [+ w% v3 Y3 TComplete association, 完全正相关. m z/ E( Y+ A' {: I6 I7 w4 t8 r# k
Complete dissociation, 完全不相关+ N9 D/ g; D9 R; L+ W( r7 C2 K8 |
Complete statistics, 完备统计量9 l- |1 j3 `" d
Completely randomized design, 完全随机化设计! R0 o i V# n" F6 b' ~. u
Composite event, 联合事件9 n9 G3 X9 u/ _1 j( _
Composite events, 复合事件, G5 H/ d5 z8 t; e t: q5 _
Concavity, 凹性3 G$ j0 w, I; t# x
Conditional expectation, 条件期望# D# h# }, N4 n6 v; O
Conditional likelihood, 条件似然
! [2 a8 Z+ j: U+ r1 pConditional probability, 条件概率4 w* W6 y% W. f6 j4 N
Conditionally linear, 依条件线性: `+ X& n- ]8 [ p% k+ z
Confidence interval, 置信区间8 n* B$ d4 M% W7 I1 W9 m. B
Confidence limit, 置信限) R% P$ O7 W4 [6 y, F* s6 {" l
Confidence lower limit, 置信下限
! F) L# d- U k2 c$ c1 jConfidence upper limit, 置信上限" T) X2 H! ~5 J- p' K- K1 ?
Confirmatory Factor Analysis , 验证性因子分析7 I; Y; G2 e, Y/ b' W6 Z
Confirmatory research, 证实性实验研究
* W0 B0 T$ f' I- {7 t M- @9 _Confounding factor, 混杂因素
5 k$ O/ M: |8 sConjoint, 联合分析
" ~) k1 [8 {, M% PConsistency, 相合性
! `2 F C; l8 A. G4 I' qConsistency check, 一致性检验
( N5 @; S; P2 h. L) w4 F5 p0 b. wConsistent asymptotically normal estimate, 相合渐近正态估计; K+ F! a6 n' f2 I' Q
Consistent estimate, 相合估计
0 R) m, e% V9 m; `' A6 W, LConstrained nonlinear regression, 受约束非线性回归
8 c' h# C M+ P1 V1 XConstraint, 约束
1 Q, ^1 |+ Y" ]8 k" zContaminated distribution, 污染分布
! v2 `" \5 R2 uContaminated Gausssian, 污染高斯分布) L h, J# Q7 N0 R- n; p/ `9 A( I |
Contaminated normal distribution, 污染正态分布
2 g. j4 R1 i: t8 B% H2 H5 vContamination, 污染
8 @& y* c7 y. P {Contamination model, 污染模型2 X7 J$ m- c1 F( g& Y% ?
Contingency table, 列联表
( v- n b2 a) i, u7 g0 a9 dContour, 边界线' M/ B2 ^ {; ?
Contribution rate, 贡献率
+ ?/ t0 r% c; S5 I* IControl, 对照
6 T9 R7 Y/ R+ g; OControlled experiments, 对照实验
; E Y5 ^% h; n1 X3 ~Conventional depth, 常规深度
( g0 O w) [1 Z8 L# [Convolution, 卷积1 B" t6 M& R6 E/ T& y. p* g0 X
Corrected factor, 校正因子2 K6 p' b6 | A3 Y! R
Corrected mean, 校正均值
1 Y0 [+ u. a. v5 o! BCorrection coefficient, 校正系数
* v2 h4 l+ {, a: t- t0 wCorrectness, 正确性
- d) a2 {. o; Z" N* Q% L2 `( ^4 @6 hCorrelation coefficient, 相关系数
' O. a* [8 i9 M: mCorrelation index, 相关指数
7 u+ U o$ g; @7 ]" l7 a& V, qCorrespondence, 对应1 C9 ~) j. i" Q9 {9 p, M
Counting, 计数
/ Z5 w, b+ n7 x( |. }- u3 `Counts, 计数/频数
- ?2 a" _" ?3 C. h0 LCovariance, 协方差; }+ G5 |: U# {0 C2 X0 Y
Covariant, 共变 ' { l( O" d! [) `
Cox Regression, Cox回归* j2 p% e+ Q6 t% @9 O" K
Criteria for fitting, 拟合准则
1 [7 A, V& | d, k' e$ BCriteria of least squares, 最小二乘准则
3 _1 C8 y' k0 U* gCritical ratio, 临界比
. M' n' t# \* k: i5 `Critical region, 拒绝域
G& n0 J8 {+ Y6 LCritical value, 临界值
k0 @# P( S/ I/ F; K; DCross-over design, 交叉设计
, _! T4 m0 u1 p4 eCross-section analysis, 横断面分析
; m% k; V2 A( g- wCross-section survey, 横断面调查3 r& v. N3 S* d) F
Crosstabs , 交叉表 8 m- P6 D5 h: Y8 }
Cross-tabulation table, 复合表& F2 C. Q; j' W
Cube root, 立方根7 @( @5 z5 N5 W: \# ]
Cumulative distribution function, 分布函数
0 e5 @$ ^: ~: gCumulative probability, 累计概率
1 B, B- h# ~$ N8 @8 TCurvature, 曲率/弯曲2 Q8 L* A8 Y3 [$ M6 j% d
Curvature, 曲率
! L& Q, I/ S0 _* b, p: pCurve fit , 曲线拟和
$ R; [1 F- D$ s5 S- S! }' u( ~5 rCurve fitting, 曲线拟合
4 ]& q, E" a0 T9 J% jCurvilinear regression, 曲线回归
( a2 h2 [! {% u5 }: X1 DCurvilinear relation, 曲线关系* o x0 r) e0 @* Z6 l4 J
Cut-and-try method, 尝试法. y; H+ L) @3 N5 b$ Q0 G0 J( C+ [) ?/ C
Cycle, 周期
9 l2 q$ a6 i' u: i3 W6 D2 M% \% `Cyclist, 周期性( I. k( ]) W$ Z4 E" @! z6 y
D test, D检验
0 y2 a9 z/ p0 @) q# @8 zData acquisition, 资料收集
% B% t: Q4 W7 ^% P- WData bank, 数据库
}3 X- C C: pData capacity, 数据容量! N# b% Y$ H& l, ]* [
Data deficiencies, 数据缺乏# s! L' [! V* F* b x
Data handling, 数据处理 d5 l" {# I: T I" r
Data manipulation, 数据处理
+ \1 N' i5 T; V1 uData processing, 数据处理
% R" `$ H }2 `Data reduction, 数据缩减
9 z; @) S9 A, oData set, 数据集# J3 N G6 @, Q9 |4 c- @/ A3 w
Data sources, 数据来源9 F5 {4 J2 ]& b
Data transformation, 数据变换
5 `) ~; R: } F; c: g) AData validity, 数据有效性
/ v. F3 ~ C2 g& p, _; u& BData-in, 数据输入8 B0 |0 `5 `# ?7 U- g
Data-out, 数据输出
% A2 @% [& E3 B5 gDead time, 停滞期1 D8 c! @2 i$ J0 {7 \
Degree of freedom, 自由度
; Z( p1 R X5 z& K) E: rDegree of precision, 精密度/ C: P/ ?+ ^6 o/ O6 ]8 K! z" E
Degree of reliability, 可靠性程度
9 W' ^% A f/ j% C. Y) g' A' PDegression, 递减
/ E0 P# P4 j `Density function, 密度函数
! r5 O3 L4 j* B, rDensity of data points, 数据点的密度
9 f) |9 C/ q, q0 l; i$ ]4 QDependent variable, 应变量/依变量/因变量
' j4 ^6 G: ^2 t2 K. LDependent variable, 因变量& Z$ O9 `- n$ d2 k3 l
Depth, 深度
- W! Y* d- K$ l6 wDerivative matrix, 导数矩阵
( A* `* X5 V5 A, h9 QDerivative-free methods, 无导数方法( _3 p" w2 t2 J# m
Design, 设计
5 k6 X, O0 O) qDeterminacy, 确定性
/ h) q4 [8 t& Q( N8 k( t( wDeterminant, 行列式
; S+ U, Y! e+ \$ g. F6 [2 Q$ ~Determinant, 决定因素0 t9 |' n( ?( h6 I" n( W4 }# D
Deviation, 离差 p- y* E" C- i1 D. Q; a, D
Deviation from average, 离均差9 X9 v) V6 w4 O! {! g
Diagnostic plot, 诊断图1 a5 S; c( F, A( [6 x0 O& S3 i
Dichotomous variable, 二分变量
5 r1 l1 k7 E9 P7 z I$ y1 {. dDifferential equation, 微分方程* l5 V$ X0 @5 ?( B. t7 m5 @
Direct standardization, 直接标准化法0 F; a8 c h, m5 C5 I7 ]) ]
Discrete variable, 离散型变量
3 _% s/ c6 C! v P! q- {6 ]DISCRIMINANT, 判断 : M$ @# m# H& h# [' w% p
Discriminant analysis, 判别分析
; w9 I; O( G6 KDiscriminant coefficient, 判别系数
9 R# F1 ~/ f' |7 w7 C# ^( uDiscriminant function, 判别值
8 m1 b1 B7 R' h. tDispersion, 散布/分散度( I1 o1 c8 I3 I0 e) c) |4 g
Disproportional, 不成比例的
' M( V3 X; Z# V" P: G2 s# Y3 F8 tDisproportionate sub-class numbers, 不成比例次级组含量
* ?; m4 f( L8 G' h9 f9 rDistribution free, 分布无关性/免分布! F; T2 P0 D* h( E. I% T
Distribution shape, 分布形状
% _- ?" A% m- }, rDistribution-free method, 任意分布法
( S0 X7 V. a# FDistributive laws, 分配律- e1 Y/ z% B. h1 j6 |4 j6 t% x
Disturbance, 随机扰动项
7 ]/ J# Y7 E, {Dose response curve, 剂量反应曲线, d5 d! T1 a2 }7 ?3 a
Double blind method, 双盲法2 K" C0 p7 j5 R7 H( t( M. B
Double blind trial, 双盲试验
! e. Q" d: o! C+ @$ iDouble exponential distribution, 双指数分布
) {' J/ u4 n* }1 KDouble logarithmic, 双对数$ T* M- g2 t {9 v8 o0 M& Y: ^( b
Downward rank, 降秩& O: `; }1 g6 S- {4 b" k
Dual-space plot, 对偶空间图# g+ p# s- N' |6 x6 O0 A
DUD, 无导数方法5 U. ~! {& Q8 Y+ ?! e" X" W
Duncan's new multiple range method, 新复极差法/Duncan新法
# ]% m$ ~; \4 O: D- PEffect, 实验效应
0 v" F+ n8 a+ S6 q" n& WEigenvalue, 特征值
% |8 [) S* h' ]% YEigenvector, 特征向量
+ R% ]0 V! u* i4 M$ X' Q, `2 lEllipse, 椭圆9 d! I5 R1 G- `: ~
Empirical distribution, 经验分布
/ `9 X: K" w. }3 s4 L6 kEmpirical probability, 经验概率单位
. ~/ B( p' B0 C3 pEnumeration data, 计数资料
) ]- k( \$ M1 P% P$ B5 e8 i3 qEqual sun-class number, 相等次级组含量
' ?4 K' H$ K4 ^+ f" L. x+ D4 uEqually likely, 等可能4 y# H7 \- t$ l1 A5 O
Equivariance, 同变性( G; e$ p, n: h! s8 q' R
Error, 误差/错误
* x3 ^( `' l' w/ d8 z% ?Error of estimate, 估计误差& x7 V$ S! s3 H% @
Error type I, 第一类错误
; m; B5 v6 H6 I. J4 U4 w+ @Error type II, 第二类错误" l+ ?) s) Y6 N3 f! B
Estimand, 被估量/ B8 L! H) Q2 z" |; s# p
Estimated error mean squares, 估计误差均方! e! M/ Q0 t5 i& X
Estimated error sum of squares, 估计误差平方和
4 D x" ]' `; v& a! oEuclidean distance, 欧式距离
# {# H& G5 [ q# _, eEvent, 事件
# Z/ X. j& G0 y, @9 f" w8 c5 fEvent, 事件
5 J7 _0 i5 M A* @! {* HExceptional data point, 异常数据点
% U, p, r2 k# W U8 ?Expectation plane, 期望平面3 J7 A/ L9 C! O8 C
Expectation surface, 期望曲面' H& o6 i* r* `$ Q T: a
Expected values, 期望值
; b5 V$ g& Q) ]+ l- X: gExperiment, 实验
/ p1 Q% X7 ^# w3 y$ k5 ]Experimental sampling, 试验抽样
9 L' V! m% B) M* H3 M' CExperimental unit, 试验单位
3 X1 H2 e- r/ k. IExplanatory variable, 说明变量: I( p4 F& s, D2 @: K. R% f G) u
Exploratory data analysis, 探索性数据分析/ w; W! _ v, Y/ I) W1 Z
Explore Summarize, 探索-摘要
Q! W% P1 k# W# DExponential curve, 指数曲线" ^* V0 F4 l6 r* F3 c" W$ ?
Exponential growth, 指数式增长% U) ^( T2 w# G( ~
EXSMOOTH, 指数平滑方法
* P' [% x/ B" x+ @3 t7 k& qExtended fit, 扩充拟合
Y( M2 m# V' V: L8 W/ ~Extra parameter, 附加参数, h5 v# d) O w
Extrapolation, 外推法, G7 D0 L9 K- M' X% m" c
Extreme observation, 末端观测值3 V* W3 Y' R) P4 f) C# j# W
Extremes, 极端值/极值
1 v" C! u3 F# O- s+ qF distribution, F分布
6 x$ Y5 l$ B2 Q4 C% LF test, F检验, ]5 g! Z) v# V9 F+ J$ m
Factor, 因素/因子
' m6 Q6 \! G" c; H, z5 e. ^Factor analysis, 因子分析
m7 ^& L' T' @5 J; _9 xFactor Analysis, 因子分析1 E5 `6 w) y; v) Y
Factor score, 因子得分 0 a; O1 a8 |6 d& h% L
Factorial, 阶乘0 |% R% i1 a5 f) n) v2 @ Z
Factorial design, 析因试验设计 B$ |9 g% F: j
False negative, 假阴性 o5 A' H0 A/ @. V
False negative error, 假阴性错误6 i/ n7 z% ~% Y$ G; e1 H
Family of distributions, 分布族
& r, \7 a6 C1 o( y- d$ b4 EFamily of estimators, 估计量族
4 v# Q1 r; @2 Z: }) S. p: OFanning, 扇面
3 }# i6 H/ _' @2 U. E% h' ^8 MFatality rate, 病死率
) k4 ~: R) j( \) P8 G E/ {& qField investigation, 现场调查
$ }, K9 q, H, T' A. YField survey, 现场调查* f. P5 ^$ j% P" v8 N. X2 d# [" Z
Finite population, 有限总体
2 s- C5 m: @9 B6 F2 }Finite-sample, 有限样本
+ O `8 K2 G- J& xFirst derivative, 一阶导数( u7 d0 a8 ^" d$ Y! j
First principal component, 第一主成分3 d8 {& q W' v7 k# o4 Z
First quartile, 第一四分位数3 r7 `$ T$ U. \! Y9 Q' L, P; B; I
Fisher information, 费雪信息量2 t) E1 w/ e, t* M N) f% A7 E9 B
Fitted value, 拟合值
9 i' K" d% w3 \& ^2 f4 z2 mFitting a curve, 曲线拟合7 ]2 a5 z" i$ V* _6 A5 H
Fixed base, 定基
$ G# E* |1 K4 e SFluctuation, 随机起伏; K' v* z/ F% D0 A* u* ~9 p
Forecast, 预测8 _+ D1 o& f2 K$ s8 a- ]: T
Four fold table, 四格表
' D4 D: n3 V" \* X1 p& H" _7 cFourth, 四分点
5 {+ [; l ?% V+ X4 L3 LFraction blow, 左侧比率
. m0 _( \! E+ M! M3 _0 iFractional error, 相对误差
8 D# t5 X9 ^( d; W" L$ T3 ^Frequency, 频率8 J# E; C' `8 u$ {" j9 V0 s4 `, C, g7 V
Frequency polygon, 频数多边图" Z+ F+ u- I$ ^8 m( U
Frontier point, 界限点7 @; C% ?, r' f" ?7 t1 ?3 o
Function relationship, 泛函关系
( v: i. i% \$ E. U! T2 hGamma distribution, 伽玛分布$ x3 Z4 ?3 v! c5 t& B
Gauss increment, 高斯增量# V/ J+ j0 d* K/ U
Gaussian distribution, 高斯分布/正态分布
0 a4 |8 J1 z. a' C- F6 a7 D: TGauss-Newton increment, 高斯-牛顿增量
, p/ |4 w' Q' Q& W( [General census, 全面普查
$ |1 z( J3 z' [9 M; ^3 ?$ MGENLOG (Generalized liner models), 广义线性模型 ' o5 o5 R P$ J( f& w! Y
Geometric mean, 几何平均数
" p7 b. Q+ }, vGini's mean difference, 基尼均差
% Z0 N5 p4 ?, w3 e& gGLM (General liner models), 一般线性模型 / _! {6 s5 C% e( p k) ]3 A
Goodness of fit, 拟和优度/配合度
/ v2 F5 g& z/ W4 V% uGradient of determinant, 行列式的梯度4 u* B h# x7 |! x& N6 Z# H
Graeco-Latin square, 希腊拉丁方
' o! S3 f/ j& c$ q# U2 ?Grand mean, 总均值0 j9 B2 V, T$ @/ n
Gross errors, 重大错误
# @. ?7 q1 g4 z8 X6 O, EGross-error sensitivity, 大错敏感度
8 s' u) \! I6 v" k6 w' RGroup averages, 分组平均0 l' P8 M% f2 c- |1 x9 W
Grouped data, 分组资料) T$ Q) _0 U: z
Guessed mean, 假定平均数
9 t" G8 G" A S3 [5 NHalf-life, 半衰期: `7 }& u) h9 v
Hampel M-estimators, 汉佩尔M估计量
8 T; c7 V/ [1 kHappenstance, 偶然事件
$ \2 ^% l8 U: c! ]7 B& u6 z! ]8 EHarmonic mean, 调和均数
6 Q3 v) u0 x6 [- e& k: B% XHazard function, 风险均数
7 ?, I( E7 e& b. F, THazard rate, 风险率, g4 M, v3 C1 L, B5 d( O) u
Heading, 标目
# ?/ |. C$ q. i$ cHeavy-tailed distribution, 重尾分布/ i. s* j' U- b" {
Hessian array, 海森立体阵
* o+ {5 J, S7 A3 _Heterogeneity, 不同质. p k# j% c/ _
Heterogeneity of variance, 方差不齐
8 |7 M0 ?; T0 e G1 JHierarchical classification, 组内分组
+ n7 E; A3 |8 Y! |6 j8 A- LHierarchical clustering method, 系统聚类法
& R+ c3 m0 g4 |* C' q8 ?* B- [High-leverage point, 高杠杆率点
B* R! ^# T' V$ g# DHILOGLINEAR, 多维列联表的层次对数线性模型8 r2 z! ~( \7 `( b+ G8 D* M
Hinge, 折叶点
' {$ W2 M3 U7 H# k3 sHistogram, 直方图
( {# c- Y' A+ X( |Historical cohort study, 历史性队列研究
~3 |9 l6 j {' m7 V; g9 ^Holes, 空洞
. _4 X0 i9 s# F$ wHOMALS, 多重响应分析
3 Z6 \" w; A/ K$ t2 p% Q( BHomogeneity of variance, 方差齐性
6 ^0 l5 @& X& H( P4 ~. VHomogeneity test, 齐性检验7 Q8 Y; |8 l9 C' ?# i
Huber M-estimators, 休伯M估计量
; E; q( ^ R1 Q8 r) T4 t/ S9 NHyperbola, 双曲线* u- X* e9 y( B" S
Hypothesis testing, 假设检验' s. E: T4 v5 q$ q; e& x' z
Hypothetical universe, 假设总体
5 M: L6 D% U h/ m; C3 UImpossible event, 不可能事件! B: V" c' c4 T
Independence, 独立性
& b+ H# L- I9 p- E5 HIndependent variable, 自变量0 E/ S2 t0 _ ^2 f3 x
Index, 指标/指数& h' L) w- i l* _$ V1 \
Indirect standardization, 间接标准化法
9 H% j: P. t8 u7 F7 C& `Individual, 个体
! u' g0 Y6 e9 B0 x& kInference band, 推断带3 R, K0 O9 p1 K; t
Infinite population, 无限总体; |: }0 q! X- w
Infinitely great, 无穷大9 m) |8 Q, S/ L$ u+ }
Infinitely small, 无穷小
1 b2 w5 E4 N/ n4 a( i* DInfluence curve, 影响曲线4 C! c$ m' B8 _/ }- n
Information capacity, 信息容量, A0 x2 ]2 _+ `9 \ n
Initial condition, 初始条件
( E" Y: H: |5 k9 s: [) jInitial estimate, 初始估计值
1 _; v0 p! j& d% lInitial level, 最初水平
$ N5 V. m: f$ a3 n. e% y3 u rInteraction, 交互作用$ w3 @& Q" {9 S+ E
Interaction terms, 交互作用项. {, z# T4 c; G8 R$ L4 H- w
Intercept, 截距
# d/ n; `: O @) ~: p; X6 eInterpolation, 内插法2 n" x8 l( S$ b+ H; V3 K+ }% M* t9 x4 u" T
Interquartile range, 四分位距
- d* V- r. x4 tInterval estimation, 区间估计0 _$ v/ p/ E1 ~; {
Intervals of equal probability, 等概率区间
8 x) q/ D1 q3 q, q, S: D9 ^& I% bIntrinsic curvature, 固有曲率
, }! Y+ f" @$ o0 S; n. n" A# N1 PInvariance, 不变性! U/ S U0 x1 x3 ~5 x- e3 H6 A+ C( ]
Inverse matrix, 逆矩阵
; [9 i! B; I" h: a# t8 m8 K- tInverse probability, 逆概率, [/ o; L1 G# E5 ]0 W0 i
Inverse sine transformation, 反正弦变换
: r) Y" e: s$ e5 E% @* yIteration, 迭代 8 j& r1 D |7 f4 Z- ^/ w2 v! L
Jacobian determinant, 雅可比行列式
/ ~* o- j- [3 G( }8 rJoint distribution function, 分布函数7 o5 ?: r5 Y) P
Joint probability, 联合概率* b. I% o' a9 a6 o! ^5 R2 V
Joint probability distribution, 联合概率分布
" J; g0 K4 O2 }2 @# F& D( c. }+ NK means method, 逐步聚类法
1 _* a0 O# q2 I. R7 Q. lKaplan-Meier, 评估事件的时间长度
2 k; ] {. j6 r4 _ uKaplan-Merier chart, Kaplan-Merier图* T1 B6 u* b0 q) F" A
Kendall's rank correlation, Kendall等级相关2 ]) N# n* a- @) o' f5 C4 w, {
Kinetic, 动力学
+ j$ r) T; B& k8 l9 W/ G& F. C1 ^1 fKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
% L% a7 N: i5 }1 J0 g0 @5 v1 WKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
3 }) [2 B# n, w D0 JKurtosis, 峰度% g% Y6 i) @3 L! n: F2 |; `9 L# A7 y
Lack of fit, 失拟0 c! B- S: _& g, ~) D
Ladder of powers, 幂阶梯
1 `* f& ], S9 F; |5 K7 CLag, 滞后
& j4 W- n# w$ T& ?: Q4 X8 zLarge sample, 大样本
5 C4 I0 z1 U# D/ h9 R9 _2 f/ RLarge sample test, 大样本检验
# C9 V" w. x& T7 J: NLatin square, 拉丁方7 t: l: S4 p8 M# l' Y8 c# i$ ?$ W
Latin square design, 拉丁方设计; G9 l/ [* t. S9 W4 l. _- x
Leakage, 泄漏
6 E6 }0 l( G3 a/ ?/ B) T6 a b8 V* qLeast favorable configuration, 最不利构形9 z/ k1 S* h' ~+ E/ H) \: ^
Least favorable distribution, 最不利分布
7 s/ a2 G. X$ h' t) \9 z* PLeast significant difference, 最小显著差法
- w$ e/ W$ m# }! O. K( I2 Q( X1 fLeast square method, 最小二乘法
/ s. o( P' O; o& E0 TLeast-absolute-residuals estimates, 最小绝对残差估计5 t% v$ i) x+ b1 Y3 B+ [
Least-absolute-residuals fit, 最小绝对残差拟合/ y/ Y5 H/ j2 Y2 v/ R5 L2 J
Least-absolute-residuals line, 最小绝对残差线9 X3 q E/ X! u- k9 S! A7 S
Legend, 图例; R1 C5 N4 L8 l' @0 Q6 ~
L-estimator, L估计量
# \8 L, Z. \, J. E! u1 yL-estimator of location, 位置L估计量* L( _8 U/ t$ X- M4 N; `
L-estimator of scale, 尺度L估计量& \/ m C8 y6 c
Level, 水平
; L Q, P r; u5 OLife expectance, 预期期望寿命
- U. U. \3 P) s7 a, `0 {Life table, 寿命表
) U% Z ^# n( ^Life table method, 生命表法
8 K/ J, `2 Y2 S5 H3 DLight-tailed distribution, 轻尾分布+ u5 W% Q: |+ F5 w0 W
Likelihood function, 似然函数4 t& I4 c8 z+ C4 _ V. @+ ]9 S
Likelihood ratio, 似然比
1 J6 o. ]5 O* [: c" d) z7 I( @) ^/ Tline graph, 线图# b4 o3 w3 H/ b- C) S
Linear correlation, 直线相关& @7 ^( {' S$ [0 C
Linear equation, 线性方程
/ T$ [4 f4 y/ WLinear programming, 线性规划
5 W6 _ d5 R7 y2 ~5 X5 I% I; GLinear regression, 直线回归1 [- Y1 y; B% F3 V; B4 c) o
Linear Regression, 线性回归
5 [) z0 l) u+ XLinear trend, 线性趋势
, M. h1 I; j' n& v$ M. hLoading, 载荷 : b* d2 k' W5 H. H0 e( O
Location and scale equivariance, 位置尺度同变性" V2 K) H Z# X8 K2 f
Location equivariance, 位置同变性& d2 U1 {1 m G! K. n; M. B" M% U
Location invariance, 位置不变性
9 ^9 N3 B) A# |' A7 d$ C; SLocation scale family, 位置尺度族; c8 p9 U, Y7 C/ f7 y
Log rank test, 时序检验 ' J' p: {# h* ]8 w
Logarithmic curve, 对数曲线
3 [! _9 p0 d4 |) iLogarithmic normal distribution, 对数正态分布 E; f2 p" R% t1 @
Logarithmic scale, 对数尺度) r2 K- Z+ d6 Y" i, E4 ~& W% x
Logarithmic transformation, 对数变换" }! Y) w7 Z4 N6 R7 _
Logic check, 逻辑检查
' Y' }1 R2 Y$ xLogistic distribution, 逻辑斯特分布9 }: I9 z% X0 G& w
Logit transformation, Logit转换$ L: M+ V; u0 b E3 R, A" J' v: |
LOGLINEAR, 多维列联表通用模型 ! T. ?- y) G) N( X7 M* e
Lognormal distribution, 对数正态分布) J2 {' q# M5 b" I
Lost function, 损失函数! ^% j) \; g6 ~) b& |* w
Low correlation, 低度相关0 L0 `2 y2 `1 `# ^" U) R$ r4 J
Lower limit, 下限: p+ b0 j. P+ c$ A0 E t3 a, U
Lowest-attained variance, 最小可达方差
+ [5 j; N2 u, D4 OLSD, 最小显著差法的简称
9 t) G, B6 M, Q. c jLurking variable, 潜在变量5 B# n+ r7 t0 M* ]9 d6 i; U
Main effect, 主效应$ Q6 l5 D$ B/ Y- R' _: n' r
Major heading, 主辞标目+ P% ~0 {# V; P! n9 V" K) K
Marginal density function, 边缘密度函数5 v6 q% T! `2 Z+ m
Marginal probability, 边缘概率; u' h' k7 c7 k- @/ h
Marginal probability distribution, 边缘概率分布2 t$ G3 a* l& Z3 V0 f5 L p3 r
Matched data, 配对资料5 a1 G$ K" v. U9 P: |, Z7 Q. d
Matched distribution, 匹配过分布
: k% j- `/ W/ x; lMatching of distribution, 分布的匹配
; _8 S; t- ?) [Matching of transformation, 变换的匹配
! |) C5 e' H$ m' x& x0 qMathematical expectation, 数学期望
& A& Z: f8 X1 k2 X. p9 h, kMathematical model, 数学模型8 A, T4 `2 x6 R: k; z
Maximum L-estimator, 极大极小L 估计量
+ Y$ r) x9 e2 M A. [Maximum likelihood method, 最大似然法9 q4 F B6 y7 _9 j+ s
Mean, 均数
+ \6 ~3 e1 ~ h2 _Mean squares between groups, 组间均方' s) y4 h' ~+ n8 b; M
Mean squares within group, 组内均方) \, C* z6 G, N$ @ A
Means (Compare means), 均值-均值比较
N, ], H# W+ v8 L; u- K3 K+ d+ sMedian, 中位数- p& [$ K1 `+ Y: W% Z3 c
Median effective dose, 半数效量
+ ^& X+ l! Q! J' HMedian lethal dose, 半数致死量
8 c$ o5 m" I X3 R* _4 ]0 IMedian polish, 中位数平滑
5 f. V7 `, @) V- S4 W; C2 x+ {Median test, 中位数检验8 T0 a" L) P6 N
Minimal sufficient statistic, 最小充分统计量: i1 x o6 U, d4 g' {
Minimum distance estimation, 最小距离估计
& M9 |( W& z7 ?1 u: qMinimum effective dose, 最小有效量& D4 j2 Y* b7 @2 J
Minimum lethal dose, 最小致死量
6 K( X9 y1 ]+ dMinimum variance estimator, 最小方差估计量& \0 a, ^& d& {* r3 Q; y
MINITAB, 统计软件包
9 Q" Q' O; n, Y; {1 T& tMinor heading, 宾词标目$ U" l( I- }* y6 f4 `3 t
Missing data, 缺失值1 b+ B/ s! c% I9 O P$ _
Model specification, 模型的确定8 t" C" L( N; ]% n3 `( d4 ~, ?" J
Modeling Statistics , 模型统计! c6 V/ M+ B' Q
Models for outliers, 离群值模型
7 `; `& C* g5 MModifying the model, 模型的修正3 g0 {4 y! {$ ]8 x* F9 m, u
Modulus of continuity, 连续性模
! J6 \4 w1 S% h3 u- MMorbidity, 发病率 ; J9 J" h b: o+ j8 w @" `8 g
Most favorable configuration, 最有利构形 T, o1 _5 \1 R2 b
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
- ]. u5 D* w+ xMultinomial Logistic Regression , 多项逻辑斯蒂回归) t3 I* u8 Z4 v
Multiple comparison, 多重比较: O# c- G8 d, x/ }4 H+ f1 f
Multiple correlation , 复相关
' ?9 n, e5 _6 iMultiple covariance, 多元协方差, J* F0 h. R( I: |: ~. {
Multiple linear regression, 多元线性回归
0 U2 [& w! r& b% E( |$ ?Multiple response , 多重选项
. w7 R4 M ~) c8 v ]1 } {Multiple solutions, 多解 ^% Q/ {4 g( ^; }* \. R# L! a
Multiplication theorem, 乘法定理
5 P! T- y0 y6 b/ g- F" _7 W- ZMultiresponse, 多元响应0 {& y5 G4 K9 u4 C
Multi-stage sampling, 多阶段抽样
- ~: f9 x4 |" Y yMultivariate T distribution, 多元T分布* E5 z8 ~. T$ V/ p/ H/ l9 {
Mutual exclusive, 互不相容3 D6 [: y# @( |
Mutual independence, 互相独立- G# n; q( O# `) T- G+ V( n
Natural boundary, 自然边界, M" P/ S+ k: E! B+ ?
Natural dead, 自然死亡
$ W/ s9 A+ d' R- xNatural zero, 自然零
# b& M1 {( S8 N7 H# m/ X- qNegative correlation, 负相关
1 G3 n# W, U/ V7 x( C+ K$ sNegative linear correlation, 负线性相关
3 i1 }/ p! `, PNegatively skewed, 负偏 k) p; i7 P" k ]
Newman-Keuls method, q检验% k) b) G, @/ i
NK method, q检验
. k$ D6 J1 k8 oNo statistical significance, 无统计意义
* q( n) N7 X3 U4 `( T$ ]Nominal variable, 名义变量
' p: k! W/ T, \$ |Nonconstancy of variability, 变异的非定常性
9 j( t7 {9 ]; Q2 F; m# ^Nonlinear regression, 非线性相关
% t. ^) g7 w7 q. z WNonparametric statistics, 非参数统计% m9 x- L5 i' O' h- e6 Y
Nonparametric test, 非参数检验% `/ g; r" {5 s
Nonparametric tests, 非参数检验
' k8 b9 _& J; R# _% [( T" z6 bNormal deviate, 正态离差
8 K5 \: W1 |( QNormal distribution, 正态分布
6 F* E! ~4 w" V* p) } A% o! `Normal equation, 正规方程组
8 k* ^- |5 J9 X0 U: KNormal ranges, 正常范围
3 x5 |1 T+ s. S* [8 yNormal value, 正常值
4 l1 { d8 y- k6 F% H8 g! WNuisance parameter, 多余参数/讨厌参数
. m5 H, V2 w3 g1 W0 ?Null hypothesis, 无效假设
' G9 W! {1 o7 y; h4 N! RNumerical variable, 数值变量
+ u! R' w: `* c$ B, Q) wObjective function, 目标函数8 X! N3 N1 y; W" Q
Observation unit, 观察单位8 T) ?0 d3 p) b. e- o$ a; S, D: f
Observed value, 观察值9 r; U! N. Z9 @9 F8 |4 A5 J, Q
One sided test, 单侧检验& e% j5 X/ j( g' S) g4 j4 h
One-way analysis of variance, 单因素方差分析
& J. [. O) p9 k1 d* D' w" MOneway ANOVA , 单因素方差分析
3 }' f; ^/ N$ f: ^Open sequential trial, 开放型序贯设计
$ B2 @. @6 _) w" ROptrim, 优切尾( K6 n0 f5 \, m _" i
Optrim efficiency, 优切尾效率
" |, b, R! l4 f$ K# p# p$ P2 bOrder statistics, 顺序统计量
5 O8 N1 ^3 _. V0 s6 xOrdered categories, 有序分类
" j. F: C. u% p# M! _$ H9 ~Ordinal logistic regression , 序数逻辑斯蒂回归
2 v' \0 y0 Y8 G7 e- j* n( FOrdinal variable, 有序变量+ C( c* p( j3 J% T. |( [/ W3 Z
Orthogonal basis, 正交基, K( z; ~& R$ z8 G
Orthogonal design, 正交试验设计
# y3 [5 d/ t }: y$ N2 _Orthogonality conditions, 正交条件
9 X5 o2 j3 u+ V, k4 ZORTHOPLAN, 正交设计
: v8 W" `- l2 V/ x3 ]5 V+ dOutlier cutoffs, 离群值截断点4 c' I) f3 h. S# Z$ C
Outliers, 极端值8 t& v+ b8 W, ~
OVERALS , 多组变量的非线性正规相关 ; ` p/ M& j0 A( j6 \. n( g5 m$ w2 x
Overshoot, 迭代过度
9 ^; A' s9 H e7 t( X d" L1 [! @Paired design, 配对设计
* S( q' @# D& `6 O& K$ h3 |0 JPaired sample, 配对样本- _* [. c! m5 x; o U$ C) H
Pairwise slopes, 成对斜率0 Y: u V! b6 q i5 s
Parabola, 抛物线
_/ U+ W f) ?4 ^% nParallel tests, 平行试验# \/ A6 c6 {5 @* b) k$ s- n
Parameter, 参数/ N _. Y8 w; `$ Q! w8 q
Parametric statistics, 参数统计
8 ]6 z' Q( Z& e: }% t4 z9 N4 LParametric test, 参数检验
# C* u! `2 X" P5 VPartial correlation, 偏相关% S/ @* q8 a$ U4 ^0 v/ p: u
Partial regression, 偏回归- C- H9 Y" r9 ?; `: W) I$ M
Partial sorting, 偏排序
' q& v9 a! u$ W1 E8 j* CPartials residuals, 偏残差
" N% b; c- o% G& _& U6 s; p4 nPattern, 模式
7 p: Q5 t" ~4 B6 n/ D7 V! sPearson curves, 皮尔逊曲线( r B* x& \$ i8 ?! I
Peeling, 退层
+ x9 i: F( Z/ K8 L$ R3 O: g0 \Percent bar graph, 百分条形图
) R' T# q5 Z7 W' N( _# y: P" nPercentage, 百分比9 y5 V. }0 _# f) r" d- r' {
Percentile, 百分位数
0 d6 ?* D: l# @% X8 u7 APercentile curves, 百分位曲线0 f% B; J2 H8 k
Periodicity, 周期性
& `- n: ]! B/ ^8 j4 \Permutation, 排列
( w7 ~$ ~4 t* k6 j. mP-estimator, P估计量8 q1 u" P( @8 K, M8 D
Pie graph, 饼图( W3 s V4 M5 c: f; c
Pitman estimator, 皮特曼估计量+ D4 B# F1 j8 u
Pivot, 枢轴量9 i4 Q! e* k. r
Planar, 平坦
2 R5 I) z0 q4 E9 q: fPlanar assumption, 平面的假设" d6 ]% X& H* _
PLANCARDS, 生成试验的计划卡5 [4 q, V, S8 t- B/ r5 ^" X2 E
Point estimation, 点估计
" Y/ g8 m Y% I0 vPoisson distribution, 泊松分布
/ s7 [- L ?& q5 h+ F$ n# DPolishing, 平滑1 E1 l% Y! _( d' m
Polled standard deviation, 合并标准差
8 e r( I* D/ i5 `+ k# M# ~Polled variance, 合并方差
5 n X7 a8 m6 ^9 {, i' c* {1 z- }Polygon, 多边图
( p: v4 Y1 N% Q7 I& lPolynomial, 多项式
+ \/ r- t8 O3 p- y+ Z5 x+ _5 pPolynomial curve, 多项式曲线& H0 ^$ D/ x0 J* q1 v. k' _
Population, 总体
4 z/ b2 P, c8 o$ nPopulation attributable risk, 人群归因危险度 k, ?" Z2 F9 A: z
Positive correlation, 正相关9 V- A9 Q; L8 q# @
Positively skewed, 正偏
3 F# C- ?% x+ Y3 ZPosterior distribution, 后验分布* g7 M" d& F8 h
Power of a test, 检验效能 ^ [+ ~# G% J' d4 k
Precision, 精密度- |( B8 C6 z9 H/ L( D2 l
Predicted value, 预测值( `8 G7 f7 i9 N! X' K' V
Preliminary analysis, 预备性分析' J: H' I n8 g
Principal component analysis, 主成分分析; {: D3 t- R1 X. ~1 Z7 I
Prior distribution, 先验分布
- @! y! S* L0 {9 I2 b& cPrior probability, 先验概率' q# x7 r: J# s( [! d
Probabilistic model, 概率模型
5 r2 e* k$ T$ [8 A& R) Kprobability, 概率; O; L9 K, I; |3 Z/ E- l; A' F
Probability density, 概率密度3 X7 {8 r- J2 j! U9 |1 c' P
Product moment, 乘积矩/协方差
8 i {+ F* e/ `Profile trace, 截面迹图7 E& E4 ] l, _1 O9 y6 Y
Proportion, 比/构成比: p4 B% ]( s2 M5 h! M
Proportion allocation in stratified random sampling, 按比例分层随机抽样: q+ N9 [! K3 ]) m, h" }1 {
Proportionate, 成比例! @9 m& t9 G2 r' w. I
Proportionate sub-class numbers, 成比例次级组含量
2 V7 z: C7 t: J5 B; T/ K* L/ g) {Prospective study, 前瞻性调查
4 b8 m0 W# U. [ JProximities, 亲近性
* l5 U3 U* C2 }3 iPseudo F test, 近似F检验
! m6 ^" o1 K+ Q9 e% zPseudo model, 近似模型
2 @# F1 X4 b* r2 F2 f. L, rPseudosigma, 伪标准差5 R. H" [$ a! l; Q6 |
Purposive sampling, 有目的抽样& H, t1 m- Y! v! D6 x
QR decomposition, QR分解
2 D6 t- z" y) P1 D% GQuadratic approximation, 二次近似! ~8 f- _5 p( J1 \ ~6 W
Qualitative classification, 属性分类) c( a- Q d) y; e- x2 S" Z$ E2 X
Qualitative method, 定性方法& ]) X$ \1 T9 S. g% r4 S* |2 t
Quantile-quantile plot, 分位数-分位数图/Q-Q图9 N0 ?% G0 L H) u
Quantitative analysis, 定量分析" |' {: Q- P5 x+ W' |% c$ s; t
Quartile, 四分位数' u, L& B& p3 @6 j5 G
Quick Cluster, 快速聚类
* D6 |. L j* }Radix sort, 基数排序: E, I O4 h; ^. r' z: h( p/ _+ F
Random allocation, 随机化分组
% ]# i- x# x% E" B0 x2 iRandom blocks design, 随机区组设计
/ x! _% |* Q' t9 ~' w5 `# wRandom event, 随机事件
2 i2 Y! Z2 I5 c* V5 cRandomization, 随机化0 w+ v+ I) ^# x6 T# Y) g
Range, 极差/全距! v! R$ ^- e( b8 j
Rank correlation, 等级相关
# H9 p& C Q+ ZRank sum test, 秩和检验4 k4 d7 U( o t' E7 }" s
Rank test, 秩检验
l5 ^8 i6 \9 w1 ZRanked data, 等级资料
( j5 ]6 m7 q, O/ kRate, 比率
& o& \$ r; i, Y5 O$ U/ m% gRatio, 比例/ y3 i8 @6 Y5 N' t6 g! F
Raw data, 原始资料" s+ O* A& T- i* h
Raw residual, 原始残差
5 g! A5 B* h' L2 H: L. M& S5 XRayleigh's test, 雷氏检验$ W& L6 X! O$ o% \1 |
Rayleigh's Z, 雷氏Z值 ; ?' O. f7 r) _# T
Reciprocal, 倒数
; ]2 G6 T7 G9 l5 xReciprocal transformation, 倒数变换" I2 p/ b8 o- N
Recording, 记录! m: K' N7 I2 L; @# p
Redescending estimators, 回降估计量
. S4 E! ?1 q' U4 r" F G" eReducing dimensions, 降维; q0 ^! A q! a2 x
Re-expression, 重新表达$ A& j9 A, F1 b- E7 Z, i
Reference set, 标准组
. f# p0 t3 g' c d N9 B2 C; |Region of acceptance, 接受域
/ `. \; H. {/ F' m1 i% @! _* MRegression coefficient, 回归系数
3 ]( r) Y( K4 H! DRegression sum of square, 回归平方和
) ]! w% x1 L% Z0 \ O3 P5 V& TRejection point, 拒绝点 ~- }% k8 t& w. i' g2 G, t( S' X
Relative dispersion, 相对离散度; N9 l* l# i. i8 y/ S
Relative number, 相对数8 b+ C# Q- H/ a- O* u
Reliability, 可靠性( Z# w M5 p+ X5 m' C
Reparametrization, 重新设置参数3 w; L8 v7 e) F" ^7 [6 Y! q
Replication, 重复! I; _. T: H. ?9 f8 K8 b$ n( l7 c
Report Summaries, 报告摘要
' v0 ~5 }5 Q8 DResidual sum of square, 剩余平方和/ b* S! |. }% A$ e4 M1 s6 }
Resistance, 耐抗性) X+ h# ^& U9 f% ^% ?
Resistant line, 耐抗线! R, h$ w' [6 F$ H, H8 t+ O `$ g. G
Resistant technique, 耐抗技术1 ~/ k7 t' U0 \+ u1 s8 [7 C& G
R-estimator of location, 位置R估计量
1 O; N0 r( D. m7 i- b( uR-estimator of scale, 尺度R估计量
# ]- ^% Z A: k. {0 _* V% }Retrospective study, 回顾性调查
1 `6 a" S; d4 K! K; A. u* t! jRidge trace, 岭迹
+ g* b3 \" i5 TRidit analysis, Ridit分析
* M* M' Y ~( Q+ m. s+ Y) ?* KRotation, 旋转
6 O O" p1 O4 {/ W# W1 {Rounding, 舍入
/ c% \% H% j( N2 d8 ]! PRow, 行# Z8 n/ g, i% D7 e: C5 R! U4 B
Row effects, 行效应
4 {5 q. l i8 b- d' H: s8 iRow factor, 行因素1 E) W( q# Y+ N1 e, |2 i' L# a
RXC table, RXC表! ?. n+ h, ]. z, I$ x( r L
Sample, 样本
1 E# r2 j2 N" \4 P. TSample regression coefficient, 样本回归系数
- D( L9 Y( H& x- M8 f$ F$ z% USample size, 样本量& O( Y/ f7 z6 L5 b! B+ `. }9 v4 Y
Sample standard deviation, 样本标准差0 w/ ~/ S0 J4 g& A+ M) e' q
Sampling error, 抽样误差
/ g$ R. k9 g" N, J2 C y* C" ESAS(Statistical analysis system ), SAS统计软件包6 O# Y6 |" G, S8 N
Scale, 尺度/量表3 \0 h7 @! z" Z9 h& T# V% g4 w7 w
Scatter diagram, 散点图
6 \9 r' {; b9 q" y0 h; h: g1 u2 PSchematic plot, 示意图/简图5 e4 a# Y) k) U& `' {
Score test, 计分检验
: e7 h% r$ f# A8 h* }" Y' M+ VScreening, 筛检: C! d9 Y v M3 z5 s0 _6 ^
SEASON, 季节分析
* T7 l* Q) N3 @* ]5 k( u. i8 Q! ^Second derivative, 二阶导数
+ p0 L/ n/ S* \2 ]1 Y- r) v2 tSecond principal component, 第二主成分# Q- Y0 L/ n: U
SEM (Structural equation modeling), 结构化方程模型
, i |' x- w9 L3 VSemi-logarithmic graph, 半对数图
0 `4 R- _+ G+ ?) v/ U# r! CSemi-logarithmic paper, 半对数格纸) H0 p6 N4 D I+ m W( |
Sensitivity curve, 敏感度曲线) P( T5 ?' S7 a ?; p7 E
Sequential analysis, 贯序分析# r. _$ G0 Y' u/ [1 @; E; r! ]
Sequential data set, 顺序数据集1 `+ r6 ]! P% N4 l1 b5 D. J
Sequential design, 贯序设计
' E% D6 n4 R) H0 Y" vSequential method, 贯序法% E/ `- X3 A* t: F9 `- O
Sequential test, 贯序检验法
; D2 f8 D' n' K# }" Z; xSerial tests, 系列试验( C) \+ V0 E! _0 {' s
Short-cut method, 简捷法 1 C+ e+ o8 Z8 U9 J' A# y! y
Sigmoid curve, S形曲线
$ i p6 |" y1 |7 w+ R. zSign function, 正负号函数
( \# M- O& W9 q4 |9 j) ~$ z! NSign test, 符号检验, L% g2 R0 S; W
Signed rank, 符号秩
% u3 i" H( w3 ?" Y" }3 `: W. m9 tSignificance test, 显著性检验 n# i8 Y) v6 ?9 E
Significant figure, 有效数字
3 [) r: O' z8 e7 T% @" \+ [Simple cluster sampling, 简单整群抽样3 c2 E$ i2 f2 W4 F2 n
Simple correlation, 简单相关
& `. @) w* R& oSimple random sampling, 简单随机抽样% O; m* z$ E4 j! ^! z
Simple regression, 简单回归! u" ^0 U9 r) `# `3 `
simple table, 简单表8 B8 a5 ~2 f5 z, p0 K% ~3 w
Sine estimator, 正弦估计量% C7 V j3 q0 m: o: x8 o- I
Single-valued estimate, 单值估计" W }8 U' s- e+ G" O Z3 {
Singular matrix, 奇异矩阵
) o- K3 r% h! ^8 @Skewed distribution, 偏斜分布
9 `! j& N+ t s4 [7 O) ^9 y0 qSkewness, 偏度
/ F9 }! O2 e a2 S2 J9 xSlash distribution, 斜线分布
$ G y4 d4 U" M' G. c0 i! _4 U; uSlope, 斜率9 E. x" f2 A- h- J( V3 Y4 x% I
Smirnov test, 斯米尔诺夫检验8 d- i7 ^8 g$ w0 Z8 f
Source of variation, 变异来源
/ ^; o/ S4 m6 ^- |. L ISpearman rank correlation, 斯皮尔曼等级相关
" p# f# f' M$ v, {" PSpecific factor, 特殊因子
- M# S& \& O- K r) Q0 lSpecific factor variance, 特殊因子方差. Y8 E7 `5 n7 A' o) o
Spectra , 频谱7 n1 J" Q2 I, ], Y: O
Spherical distribution, 球型正态分布2 q" K( s/ |( @# K, L* ?
Spread, 展布
% \# d7 L# @6 J4 V* ?8 kSPSS(Statistical package for the social science), SPSS统计软件包; R6 I. |+ u5 W% R# v
Spurious correlation, 假性相关8 x* H. E1 ^, |1 ~
Square root transformation, 平方根变换& ~. S1 m% N. A% R4 w( f6 q
Stabilizing variance, 稳定方差% Z( x/ m( J# f/ f6 u
Standard deviation, 标准差
! j G% F* w9 s1 \Standard error, 标准误
6 {1 G. ~7 h$ A" @. K5 HStandard error of difference, 差别的标准误4 q) k! L) L& }
Standard error of estimate, 标准估计误差
% g9 `' _# @' ^- P0 D, UStandard error of rate, 率的标准误( x |- Y2 A4 l1 C, W' f) _! h
Standard normal distribution, 标准正态分布
# u D V+ a# Q: bStandardization, 标准化3 z. G$ P. d: `4 v# N! y% Q" D
Starting value, 起始值
8 ^1 J M4 w6 j9 L- XStatistic, 统计量/ @6 _; Y% y* {/ D6 u
Statistical control, 统计控制& s% D, k; ^2 s+ b7 U' _0 }3 r+ A
Statistical graph, 统计图
$ Y% Y: `$ H9 q y! DStatistical inference, 统计推断
: q- E0 \; n3 v4 f, z; EStatistical table, 统计表5 b. g0 O. l+ P$ H
Steepest descent, 最速下降法; }' x ` g+ ]( V) `: ?3 r
Stem and leaf display, 茎叶图
# E3 l) k* O. v; X& _( A! A% ~Step factor, 步长因子* Z& ^$ D; S9 p" U
Stepwise regression, 逐步回归% o* K, w( B/ y! N9 a
Storage, 存
' Y N1 ^' y3 H K0 ]$ kStrata, 层（复数）1 v7 Y. n; h. n; j" Q0 p7 x( z
Stratified sampling, 分层抽样( j# T+ r1 M/ a0 ^* ?" G0 {
Stratified sampling, 分层抽样
1 C( g# N) V& u- }7 l; ?3 q1 \Strength, 强度& T( `6 ~6 o5 y3 B& T
Stringency, 严密性. l" {( c$ y4 d
Structural relationship, 结构关系: I$ L/ e3 a+ s( ~ c
Studentized residual, 学生化残差/t化残差
) E7 K/ D. M2 v7 ]; X" ] z: D# BSub-class numbers, 次级组含量
" o! @! M5 m- H Y. _Subdividing, 分割
# D/ }# r' _( {$ Q! g9 k! j6 iSufficient statistic, 充分统计量
7 z+ V% { C8 H) V* I; ZSum of products, 积和
8 G$ f& B7 C; E1 Y' W) e: zSum of squares, 离差平方和% b8 P/ {1 n$ t9 I
Sum of squares about regression, 回归平方和
6 | i8 _/ a$ m5 @Sum of squares between groups, 组间平方和: C0 G: g% ]; O. l/ q; D
Sum of squares of partial regression, 偏回归平方和
* k' h" ?. [2 h* y% USure event, 必然事件
& G l/ }; Q8 H, [' k QSurvey, 调查
7 Z/ S2 Z2 q& u4 J/ A0 q1 e1 USurvival, 生存分析
& j4 G6 g; J9 R4 U1 NSurvival rate, 生存率
0 R3 a3 V4 x. R' g8 n# vSuspended root gram, 悬吊根图1 J! J7 A/ {8 K! H* w
Symmetry, 对称& \! f: @; m C+ G# @2 J4 h
Systematic error, 系统误差3 x f% d* O7 G0 s+ h# k
Systematic sampling, 系统抽样
- Q6 L& h$ }% R% o1 _Tags, 标签
4 H6 D1 N1 e5 H! J) o8 |Tail area, 尾部面积8 p( M3 `# q2 q
Tail length, 尾长7 H8 }" h- z, ~1 T( N
Tail weight, 尾重+ N1 w* R4 b( I" i* K2 f/ N" a
Tangent line, 切线
& \2 s) E* |% l0 ]1 RTarget distribution, 目标分布3 u ~; t( b% s: T2 E) g
Taylor series, 泰勒级数* g4 ], c; t) B; ?9 D
Tendency of dispersion, 离散趋势9 w. W9 R9 Y% W# v
Testing of hypotheses, 假设检验6 u. V+ c9 `2 b x* A6 j m& |" S
Theoretical frequency, 理论频数2 a. l5 z/ c5 l, v3 e7 V5 k0 U
Time series, 时间序列
6 V! I, ^# W8 A& WTolerance interval, 容忍区间
" {3 X( ^+ m, f7 h. i1 x0 aTolerance lower limit, 容忍下限& b; u1 V4 v; |
Tolerance upper limit, 容忍上限. O! t8 C7 _: J
Torsion, 扰率
+ @9 P1 N! T6 R7 q' xTotal sum of square, 总平方和
7 m% y, @" t! k/ bTotal variation, 总变异
* O1 |1 B5 g$ y: WTransformation, 转换
4 g1 f8 u( N: R7 dTreatment, 处理
9 x, ?( ]* U0 g2 K. I7 ?8 S" uTrend, 趋势
4 y, n/ V9 ^' y! q% k9 q/ \5 |Trend of percentage, 百分比趋势, G6 e( o% A8 R
Trial, 试验
" E: b" q+ A: a5 S$ h7 K* t7 MTrial and error method, 试错法
F5 T6 N9 g9 }; r, n0 XTuning constant, 细调常数4 a) {, |2 ~, C) k; L
Two sided test, 双向检验
) Y& S/ F8 r1 |" W8 h }& y: ?Two-stage least squares, 二阶最小平方9 u. V; ?! g. L. I4 s) N% w2 V
Two-stage sampling, 二阶段抽样 ?" b& A/ f/ r% r& Y9 g, Y E: I, R, K
Two-tailed test, 双侧检验
7 l" ~; e4 l: oTwo-way analysis of variance, 双因素方差分析' J, q2 y9 D4 e( u: g& x
Two-way table, 双向表: `) g' h+ g G7 K% P% V
Type I error, 一类错误/α错误
% f1 d/ f3 E1 q- h. o0 ?Type II error, 二类错误/β错误
$ }* Z+ c- t2 xUMVU, 方差一致最小无偏估计简称
! R$ l( N7 y! NUnbiased estimate, 无偏估计
$ G& U( n: G% U7 {* ~Unconstrained nonlinear regression , 无约束非线性回归/ n$ y/ T! x2 X' r
Unequal subclass number, 不等次级组含量, P, R) s9 `$ k- ?
Ungrouped data, 不分组资料+ B1 ?3 c0 S: G* U& ~: m7 _
Uniform coordinate, 均匀坐标
9 M4 Z( S" w( y: T: Z" uUniform distribution, 均匀分布
* y8 |" @- b/ o3 G/ Q- [5 jUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
0 F9 y( _: p1 ?. |Unit, 单元
; M+ n& J: O+ |- v& oUnordered categories, 无序分类
! k. D- D2 x D7 J' Y4 |Upper limit, 上限( i, t* z# G5 r; M. ~* h7 @
Upward rank, 升秩
, v9 X6 E( q6 iVague concept, 模糊概念, y2 P" ~+ L1 V5 b K
Validity, 有效性/ W% _6 u2 ?8 L( Z3 u4 O# m
VARCOMP (Variance component estimation), 方差元素估计
9 ]2 q/ w9 g3 u$ N! nVariability, 变异性
9 I9 s, T1 B' Z& z+ cVariable, 变量2 ?# C! M' n: Z) @6 K, H
Variance, 方差
+ u1 j$ s+ D$ ^" PVariation, 变异
% n. h' _# ]* A& k% f( I2 QVarimax orthogonal rotation, 方差最大正交旋转; Y% D3 W3 E, c: b9 k
Volume of distribution, 容积! a P( M+ ]3 c, v
W test, W检验# U; T/ M$ j/ S) d5 X
Weibull distribution, 威布尔分布
! h. l) l: z" V* xWeight, 权数
8 M% `5 i4 |& X2 k) qWeighted Chi-square test, 加权卡方检验/Cochran检验/ l3 B" {8 ^$ R3 Z! i
Weighted linear regression method, 加权直线回归" B+ ^. C4 S0 S6 d
Weighted mean, 加权平均数
, Q. O# |1 z; t: t+ A" R( w+ BWeighted mean square, 加权平均方差
: N [- `/ ]+ _8 pWeighted sum of square, 加权平方和
7 `" T6 k$ V- YWeighting coefficient, 权重系数+ ]' I0 D5 u6 e' L) w, b* e, m
Weighting method, 加权法 : T9 k" g$ [) o# l( t" Y0 O; \
W-estimation, W估计量
; n0 p* n# N0 y: c; w7 zW-estimation of location, 位置W估计量
0 m! y |) s7 c& k* @0 nWidth, 宽度' J+ G/ T! x* O/ |. X Z
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验3 d5 v$ ^% k0 j& D/ E
Wild point, 野点/狂点( u% c6 z& w, ]% _1 s, D' M
Wild value, 野值/狂值
, ^1 x ?: ] k3 `0 H- [Winsorized mean, 缩尾均值/ x O$ i& B' _6 z' z$ E
Withdraw, 失访 1 Z4 U/ Q, R( \; u* c) T
Youden's index, 尤登指数' S. m1 x, E5 [9 r& s0 R& p0 S
Z test, Z检验; N4 [2 `8 b2 _" _) l, F8 ?
Zero correlation, 零相关8 z3 F" _3 I: h- X. ^5 C
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
